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title: Paper awards
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<h2>Notable papers</h2>
<center>
  <table>
    <tr>
      <td align="center">
        <a href="{{ site.baseurl }}/image/0-AISTATS2019-NotablePaper1.jpg"><img alt="Notable paper award 1" src="{{ site.baseurl }}/image/0-AISTATS2019-NotablePaper1.jpg" width="300" /></a>
        <br />
        Ryan Giordano (pictured), William Stephenson, Runjing Liu, Michael Jordan, and Tamara Broderick. <a href="http://proceedings.mlr.press/v89/giordano19a.html">A Swiss Army Infinitesimal Jackknife</a>.
      </td>
    </tr>
    <tr>
      <td align="center">
        <a href="{{ site.baseurl }}/image/0-AISTATS2019-NotablePaper2.jpg"><img alt="Notable paper award 2" src="{{ site.baseurl }}/image/0-AISTATS2019-NotablePaper2.jpg" width="300" /></a>
        <br />
        Pashupati Hegde, Markus Heinonen (pictured), Harri Lahdesmaki, and Samuel Kaski. <a href="http://proceedings.mlr.press/v89/hegde19a.html">Deep Learning with Differential Gaussian Process Flows</a>.
      </td>
    </tr>
    <tr>
      <td align="center">
        <a href="{{ site.baseurl }}/image/0-AISTATS2019-NotablePaper3.jpg"><img alt="Notable paper award 3" src="{{ site.baseurl }}/image/0-AISTATS2019-NotablePaper3.jpg" width="300" /></a>
        <br />
        Yu-Xiang Wang, Borja Balle, and Shiva Kasiviswanathan (pictured). <a href="http://proceedings.mlr.press/v89/wang19b.html">Subsampled Renyi Differential Privacy and Analytical Moments Accountant</a>.
      </td>
    </tr>
  </table>
</center>

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